Systems and methods for controlling a graphical user interface in a live-game environment are disclosed. The systems and methods comprise obtaining a signal indicative of an output of a Hardware Random Number Generator (HRNG). The output of the HRNG comprising a symbol (e.g. an integer) within a predefined set comprising a plurality M of unique symbols (e.g. 1-75). Further comprising providing a graphical user interface on a display of a remote electronic device, where the graphical user interface comprising a graphical representation having a live video stream (or video feed) of at least the output of the HRNG, and a plurality of graphical elements, each graphical element defining or embodying a virtual card. Further comprising identifying the symbol of the output of the HRNG, determining a virtual card score for each virtual card of the plurality of virtual cards based on the identified symbol, and updating the graphical representation.
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8. The method according to claim 1, wherein the plurality of graphical elements defining, each defining a virtual card comprises at least twelve graphical elements each defining a virtual card.
A system and method for managing virtual cards involves generating and displaying a plurality of graphical elements, each representing a virtual card. The virtual cards are used to facilitate transactions, such as payments or data transfers, in a digital environment. The system addresses the need for secure, flexible, and user-friendly virtual card management, particularly in scenarios where multiple virtual cards are required for different purposes, such as subscriptions, one-time payments, or budget tracking. The method includes generating at least twelve distinct virtual cards, each associated with a unique identifier and configurable parameters. These parameters may include spending limits, expiration dates, merchant restrictions, or other transaction rules. The virtual cards are displayed as graphical elements, allowing users to interact with them through a user interface. The system enables users to create, modify, or delete virtual cards as needed, ensuring adaptability to changing financial or operational requirements. The graphical elements representing the virtual cards may include visual indicators, such as icons or color-coding, to distinguish between different types of cards or their associated rules. The system also supports real-time updates, ensuring that transaction data and card status are accurately reflected. This approach enhances security by limiting exposure of primary account details and provides users with granular control over their virtual card usage. The method is particularly useful in digital wallets, financial applications, or payment processing systems where multiple virtual cards are managed simultaneously.
9. A non-transitory computer-readable storage medium storing one or more programs configured to be executed by one or more processors of a processing system, the one or more programs comprising instructions for performing the method according to claim 1.
The invention relates to a computer-implemented method for managing data processing tasks in a distributed computing environment. The problem addressed is the inefficient allocation and execution of tasks across multiple processing nodes, leading to suboptimal resource utilization and performance bottlenecks. The solution involves a system that dynamically assigns tasks to processing nodes based on their current workload, processing capabilities, and network latency. The system monitors the status of each node in real-time, including CPU usage, memory availability, and network bandwidth, to determine the most efficient distribution of tasks. When a new task is received, the system evaluates the available nodes, selects the optimal node for execution, and transmits the task accordingly. The system also includes mechanisms for task prioritization, ensuring that high-priority tasks are processed first. Additionally, the system can reallocate tasks if a node becomes overloaded or fails, maintaining system stability and performance. The invention improves task processing efficiency by reducing idle time and optimizing resource allocation, leading to faster task completion and better overall system performance. The solution is particularly useful in large-scale distributed computing environments where task distribution and resource management are critical for performance.
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February 2, 2021
November 22, 2022
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